
GPU Performance Architect (Memory System)
- Austin, TX
- Permanent
- Full-time
- You work closely with the architecture, SW, and design teams to understand the architecture and micro-architecture of the GPU memory system including cache hierarchy, bus unit, interfaces with the GPU core and rest of the SoC.
- You develop complex GPU performance models to help define micro-architectural features and implementation optimizations of next-generation GPUs, in areas of memory system.
- You develop tools and methodology to correlate and validate performance models, triage and fix performance issues, and identify bottlenecks and propose solutions to improve GPU performance.
- You drive high-level performance analysis on complex workloads, with the goal to optimize the GPU with rest of the Memory System IP (Interconnect, Last-level Cache, Memory Controller).
- 10+ years of experience with a Bachelor’s Degree in Computer Science/Engineering, or 8+ years of experience with a Master’s Degree, or 6+ years of experience with a PhD
- 5+ years of experience in architectural modeling and performance analysis, either with analytical models or cycle-accurate simulators
- Experience with CPU, GPU, or Memory systems microarchitecture
- Good programming and/or scripting skills (Python is a plus)
- Good understanding of power/performance trade-offs
- Good understanding of VLSI concepts, HW design
- Good written and verbal communication skills
- Performance modeling or workload analysis experience, in areas of memory subsystems
- Knowledge of Core Pipelines (CPU, GPU or Accelerators)
- Directly related experience with correlation of RTL with performance model
- Experience in integrating internal/external IP models on a full system-level framework.
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